Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on (2011)
Aug. 22, 2011 to Aug. 27, 2011
"What movies do you like?" Everyone has had to answer this question at least once. And the answer is often given by means of examples: "I like Star Wars." Often an examples explains a lot more than trying to characterize movies by other means, like giving a category like "Science Fiction" or providing actor or director names. The Movie Oracle recommends movies by comparing examples provided by the user to movie contents, which the Movie-Oracle derives from the movie dialogues gathered from movie subtitle files, without using any human generated meta-data.
content based prediction, inductive learning
J. Nessel and B. Cimpa, "The MovieOracle - Content Based Movie Recommendations," 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies(WI-IAT), Lyon, 2011, pp. 361-364.